Kolmogorov Equations for Stochastic PDEs

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Publisher : Birkhäuser
ISBN 13 : 3034879091
Total Pages : 182 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Kolmogorov Equations for Stochastic PDEs by : Giuseppe Da Prato

Download or read book Kolmogorov Equations for Stochastic PDEs written by Giuseppe Da Prato and published by Birkhäuser. This book was released on 2012-12-06 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kolmogorov Equations for Stochastic PDEs gives an introduction to stochastic partial differential equations, such as reaction-diffusion, Burgers and 2D Navier-Stokes equations, perturbed by noise. It studies several properties of corresponding transition semigroups, such as Feller and strong Feller properties, irreducibility, existence and uniqueness of invariant measures. In addition, the transition semigroups are interpreted as generalized solutions of Kologorov equations.

An Introduction to Riemann Surfaces

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Publisher : Birkhäuser
ISBN 13 : 9780817672164
Total Pages : 0 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis An Introduction to Riemann Surfaces by : Terrence Napier

Download or read book An Introduction to Riemann Surfaces written by Terrence Napier and published by Birkhäuser. This book was released on 2011-09-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents a unified approach to compact and noncompact Riemann surfaces from the point of view of the so-called L2 $\bar{\delta}$-method. This method is a powerful technique from the theory of several complex variables, and provides for a unique approach to the fundamentally different characteristics of compact and noncompact Riemann surfaces. The inclusion of continuing exercises running throughout the book, which lead to generalizations of the main theorems, as well as the exercises included in each chapter make this text ideal for a one- or two-semester graduate course.

Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions

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Publisher : Springer
ISBN 13 : 3540481613
Total Pages : 248 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions by : N.V. Krylov

Download or read book Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions written by N.V. Krylov and published by Springer. This book was released on 2006-11-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kolmogorov equations are second order parabolic equations with a finite or an infinite number of variables. They are deeply connected with stochastic differential equations in finite or infinite dimensional spaces. They arise in many fields as Mathematical Physics, Chemistry and Mathematical Finance. These equations can be studied both by probabilistic and by analytic methods, using such tools as Gaussian measures, Dirichlet Forms, and stochastic calculus. The following courses have been delivered: N.V. Krylov presented Kolmogorov equations coming from finite-dimensional equations, giving existence, uniqueness and regularity results. M. Röckner has presented an approach to Kolmogorov equations in infinite dimensions, based on an LP-analysis of the corresponding diffusion operators with respect to suitably chosen measures. J. Zabczyk started from classical results of L. Gross, on the heat equation in infinite dimension, and discussed some recent results.

Fokker-Planck-Kolmogorov Equations

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Publisher : American Mathematical Soc.
ISBN 13 : 1470425580
Total Pages : 482 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Fokker-Planck-Kolmogorov Equations by : Vladimir I. Bogachev

Download or read book Fokker-Planck-Kolmogorov Equations written by Vladimir I. Bogachev and published by American Mathematical Soc.. This book was released on 2015-12-17 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an exposition of the principal concepts and results related to second order elliptic and parabolic equations for measures, the main examples of which are Fokker-Planck-Kolmogorov equations for stationary and transition probabilities of diffusion processes. Existence and uniqueness of solutions are studied along with existence and Sobolev regularity of their densities and upper and lower bounds for the latter. The target readership includes mathematicians and physicists whose research is related to diffusion processes as well as elliptic and parabolic equations.

Applied Stochastic Differential Equations

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Publisher : Cambridge University Press
ISBN 13 : 1316510085
Total Pages : 327 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Applied Stochastic Differential Equations by : Simo Särkkä

Download or read book Applied Stochastic Differential Equations written by Simo Särkkä and published by Cambridge University Press. This book was released on 2019-05-02 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.

Kolmogorov Operators in Spaces of Continuous Functions and Equations for Measures

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Publisher : Edizioni della Normale
ISBN 13 : 9788876423369
Total Pages : 0 pages
Book Rating : 4.62/5 ( download)

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Book Synopsis Kolmogorov Operators in Spaces of Continuous Functions and Equations for Measures by : Luigi Manca

Download or read book Kolmogorov Operators in Spaces of Continuous Functions and Equations for Measures written by Luigi Manca and published by Edizioni della Normale. This book was released on 2008-12-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is devoted to study the relationships between Stochastic Partial Differential Equations and the associated Kolmogorov operator in spaces of continuous functions. In the first part, the theory of a weak convergence of functions is developed in order to give general results about Markov semigroups and their generator. In the second part, concrete models of Markov semigroups deriving from Stochastic PDEs are studied. In particular, Ornstein-Uhlenbeck, reaction-diffusion and Burgers equations have been considered. For each case the transition semigroup and its infinitesimal generator have been investigated in a suitable space of continuous functions. The main results show that the set of exponential functions provides a core for the Kolmogorov operator. As a consequence, the uniqueness of the Kolmogorov equation for measures has been proved.

Stochastic Processes and Applications

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Publisher : Springer
ISBN 13 : 1493913239
Total Pages : 345 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Stochastic Processes and Applications by : Grigorios A. Pavliotis

Download or read book Stochastic Processes and Applications written by Grigorios A. Pavliotis and published by Springer. This book was released on 2014-11-19 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated. The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.

Stochastic Integration by Parts and Functional Itô Calculus

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Publisher : Birkhäuser
ISBN 13 : 3319271288
Total Pages : 208 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Stochastic Integration by Parts and Functional Itô Calculus by : Vlad Bally

Download or read book Stochastic Integration by Parts and Functional Itô Calculus written by Vlad Bally and published by Birkhäuser. This book was released on 2016-03-11 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelona Summer School on Stochastic Analysis (July 2012). The notes of the course by Vlad Bally, co-authored with Lucia Caramellino, develop integration by parts formulas in an abstract setting, extending Malliavin's work on abstract Wiener spaces. The results are applied to prove absolute continuity and regularity results of the density for a broad class of random processes. Rama Cont's notes provide an introduction to the Functional Itô Calculus, a non-anticipative functional calculus that extends the classical Itô calculus to path-dependent functionals of stochastic processes. This calculus leads to a new class of path-dependent partial differential equations, termed Functional Kolmogorov Equations, which arise in the study of martingales and forward-backward stochastic differential equations. This book will appeal to both young and senior researchers in probability and stochastic processes, as well as to practitioners in mathematical finance.

Stochastic Partial Differential Equations and Related Fields

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Publisher : Springer
ISBN 13 : 3319749293
Total Pages : 574 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis Stochastic Partial Differential Equations and Related Fields by : Andreas Eberle

Download or read book Stochastic Partial Differential Equations and Related Fields written by Andreas Eberle and published by Springer. This book was released on 2018-07-03 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference ''Stochastic Partial Differential Equations and Related Fields'' hosted by the Faculty of Mathematics at Bielefeld University, October 10–14, 2016. The conference, attended by more than 140 participants, including PostDocs and PhD students, was held both to honor Michael Röckner's contributions to the field on the occasion of his 60th birthday and to bring together leading scientists and young researchers to present the current state of the art and promising future developments. Each article introduces a well-described field related to Stochastic Partial Differential Equations and Stochastic Analysis in general. In particular, the longer surveys focus on Dirichlet forms and Potential theory, the analysis of Kolmogorov operators, Fokker–Planck equations in Hilbert spaces, the theory of variational solutions to stochastic partial differential equations, singular stochastic partial differential equations and their applications in mathematical physics, as well as on the theory of regularity structures and paracontrolled distributions. The numerous research surveys make the volume especially useful for graduate students and researchers who wish to start work in the above-mentioned areas, or who want to be informed about the current state of the art.

Stochastic Differential Equations and Applications

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Publisher : Academic Press
ISBN 13 : 1483217876
Total Pages : 248 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Stochastic Differential Equations and Applications by : Avner Friedman

Download or read book Stochastic Differential Equations and Applications written by Avner Friedman and published by Academic Press. This book was released on 2014-06-20 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Differential Equations and Applications, Volume 1 covers the development of the basic theory of stochastic differential equation systems. This volume is divided into nine chapters. Chapters 1 to 5 deal with the basic theory of stochastic differential equations, including discussions of the Markov processes, Brownian motion, and the stochastic integral. Chapter 6 examines the connections between solutions of partial differential equations and stochastic differential equations, while Chapter 7 describes the Girsanov’s formula that is useful in the stochastic control theory. Chapters 8 and 9 evaluate the behavior of sample paths of the solution of a stochastic differential system, as time increases to infinity. This book is intended primarily for undergraduate and graduate mathematics students.